DocumentCode
2852514
Title
Fuzzy model optimization based on cooperative evolutionary genetic algorithm
Author
Qiao, Mengli
Author_Institution
Sch. of Inf., Linyi Univ., Linyi, China
fYear
2012
fDate
24-27 June 2012
Firstpage
599
Lastpage
602
Abstract
Interpretability and accuracy are base requirements of fuzzy model. An approach to construct fuzzy model based on co-evolutionary genetic algorithm is proposed for the requirements. First, the initial fuzzy system is identified using WM method because of its simplicity and quickness to generate fuzzy rules. The membership functions and fuzzy rule base are optimized by the co-evolutionary genetic algorithm in order to improve accuracy of the fuzzy model. The result of simulation experiment shows its validity.
Keywords
fuzzy set theory; fuzzy systems; genetic algorithms; WM method; coevolutionary genetic algorithm; cooperative evolutionary genetic algorithm; fuzzy model optimization; fuzzy rule base; fuzzy rules generation; initial fuzzy system; interpretability; membership functions; Encoding; co-evolutionary; fuzzy control; fuzzy model; genetic algorithm; simulation Introduction;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical & Electronics Engineering (EEESYM), 2012 IEEE Symposium on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4673-2363-5
Type
conf
DOI
10.1109/EEESym.2012.6258729
Filename
6258729
Link To Document